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Browse files- app.py +57 -0
- diagramas/Tab_1.png +0 -0
- diagramas/Tab_2.png +0 -0
- diagramas/Tab_3.png +0 -0
- requirements.txt +3 -0
app.py
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# Imports
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import pandas as pd
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import numpy as np
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import gradio as gr
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import statsmodels.api as sm
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from io import BytesIO
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import os
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# Hay que definir una funcion que tome el archivo, lo lea y aplique los filtros segun un listado criterios
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def read_pdf(file):
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file_name = file.name
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global df
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df = pd.read_excel(file_name)
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return df.head(10)
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# Esta funcion aplica el filtro seleccionado
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def apply_filter(criteria):
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global df
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# Si los datos no se leyeron correctamente
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if df is None:
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return pd.DataFrame() # Devuelvo un df vacio
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# Aplico el filtro seleccionado
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if criteria == 'Criterio 1':
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filter_cond = (df['cyl']>=6) & (df['hp']>=150)
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elif criteria == 'Criterio 2':
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filter_cond = df['gear']>4
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elif criteria == 'Criterio 3':
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filter_cond = (df['disp']>150) & (df['disp']<230) & (df['qsec']>16) & (df['qsec']<18)
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global filtered_df
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filtered_df = df[filter_cond]
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return filtered_df
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def download_file(filter_df):
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output_name = 'output.xlsx'
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filter_df.to_excel(output_name)
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return output_name
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with gr.Blocks() as demo:
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with gr.Tab(label='Carga Archivo'):
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input_file = gr.components.File(label='Excel-CSV File', file_types=['.xlsx', '.xls', '.csv'], file_count='single')
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send_file = gr.Button(label='Cargar')
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with gr.Tab(label='Ajustes'):
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table = gr.DataFrame(label='Tabla')
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filter_select = gr.Dropdown(choices=['Criterio 1', 'Criterio 2', 'Criterio 3'], label='Selección de criterios')
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apply_filter_button = gr.Button(label='Aplicar filtro')
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with gr.Tab(label='Descarga'):
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# output_file = gr.components.File(label='Descarga de archivo', file_count='single')
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# download_format = gr.Dropdown(choices=['csv', 'xlsx'], label='Format')
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download_button = gr.Button(label='Descarga de archivo')
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download_button.click(fn=download_file, inputs=[table], outputs=gr.components.File(label="Download Processed Excel file"))
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# Funcionalidades
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send_file.click(fn=read_pdf, inputs=[input_file], outputs=table)
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apply_filter_button.click(fn=apply_filter, inputs=[filter_select], outputs=table)
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diagramas/Tab_1.png
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diagramas/Tab_2.png
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diagramas/Tab_3.png
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requirements.txt
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@@ -0,0 +1,3 @@
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gradio
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pandas
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openpyxl
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